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Sean M. Sykes

Researcher at Broad Institute

Publications -  31
Citations -  28827

Sean M. Sykes is an academic researcher from Broad Institute. The author has contributed to research in topics: Genome & Population. The author has an hindex of 27, co-authored 31 publications receiving 25962 citations. Previous affiliations of Sean M. Sykes include Massachusetts Institute of Technology & TigerLogic.

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Journal ArticleDOI

Structure, function and diversity of the healthy human microbiome

Curtis Huttenhower, +253 more
- 14 Jun 2012 - 
TL;DR: The Human Microbiome Project Consortium reported the first results of their analysis of microbial communities from distinct, clinically relevant body habitats in a human cohort; the insights into the microbial communities of a healthy population lay foundations for future exploration of the epidemiology, ecology and translational applications of the human microbiome as discussed by the authors.
Journal Article

Structure, function and diversity of the healthy human microbiome

Curtis Huttenhower, +247 more
- 01 Jun 2012 - 
TL;DR: The Human Microbiome Project has analysed the largest cohort and set of distinct, clinically relevant body habitats so far, finding the diversity and abundance of each habitat’s signature microbes to vary widely even among healthy subjects, with strong niche specialization both within and among individuals.
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Genome sequence, comparative analysis and haplotype structure of the domestic dog

Kerstin Lindblad-Toh, +241 more
- 08 Dec 2005 - 
TL;DR: A high-quality draft genome sequence of the domestic dog is reported, together with a dense map of single nucleotide polymorphisms (SNPs) across breeds, to shed light on the structure and evolution of genomes and genes.
Journal ArticleDOI

A framework for human microbiome research

Barbara A. Methé, +253 more
- 14 Jun 2012 - 
TL;DR: The Human Microbiome Project (HMP) Consortium has established a population-scale framework which catalyzed significant development of metagenomic protocols resulting in a broad range of quality-controlled resources and data including standardized methods for creating, processing and interpreting distinct types of high-throughput metagenomics data available to the scientific community as mentioned in this paper.
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High-quality draft assemblies of mammalian genomes from massively parallel sequence data

TL;DR: The development of an algorithm for genome assembly, ALLPATHS-LG, and its application to massively parallel DNA sequence data from the human and mouse genomes, generated on the Illumina platform, have good accuracy, short-range contiguity, long-range connectivity, and coverage of the genome.